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Specialized node for parsing and extracting text sections within `
ThinkSeeker is a specialized node designed to parse and process text by identifying and extracting sections enclosed within <think>
tags. This node is particularly useful for AI artists and developers who need to separate conceptual or thought-provoking content from the main body of text. By isolating these "thinking" sections, ThinkSeeker allows for a more organized and focused approach to text analysis and manipulation. The node's primary function is to differentiate between the content meant for deeper reflection and the rest of the text, which can be used for various creative or analytical purposes. This capability is beneficial in scenarios where you want to highlight or process specific parts of a text differently, such as in creative writing, script analysis, or any application where distinguishing between different types of content is crucial.
The text
parameter is a required input that accepts a string of text, which can be multiline. This parameter serves as the source material for the node to process and analyze. The text provided should contain sections enclosed within <think>
tags if you wish to extract specific "thinking" content. The presence of these tags will determine the node's ability to separate and identify the thinking sections from the rest of the text. There are no explicit minimum or maximum values for this parameter, but the text should be formatted correctly to ensure accurate parsing.
The thinking_text
output parameter provides the extracted content from the input text that was enclosed within <think>
tags. This output is crucial for users who want to focus on the conceptual or reflective parts of their text, as it isolates these sections for further analysis or creative use. If no <think>
tags are present in the input, this output will be an empty string.
The response_text
output parameter contains the remaining content of the input text after the <think>
sections have been removed. This output is useful for users who want to work with the main body of the text separately from the thinking sections. It provides a clean version of the text without the conceptual content, allowing for different processing or presentation.
<think>
tags to maximize the effectiveness of the node in extracting the desired content.thinking_text
output to focus on and develop ideas or concepts that require special attention or further exploration.<think>
tags found<think>
tags, resulting in an empty thinking_text
output.<think>
tags are correctly placed around the sections you want to extract.<think>
tags in the input text are not properly formatted, which can lead to parsing errors or unexpected results.<think>
tags to ensure they are correctly opened and closed around the intended sections.RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Playground, enabling artists to harness the latest AI tools to create incredible art.